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Secure Software Engineering Through Sensible AutoMation (SESAM)
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0002-0679-4361
2025 (English)In: International Symposium on Empirical Software Engineering and Measurement, IEEE Computer Society, 2025, p. 502-504Conference paper, Published paper (Refereed)
Abstract [en]

Background: Security is incorporated late in the Software Development Life Cycle (SDLC), whereas early activities supporting developers in understanding and implementing security measures are difficult to integrate.

Aims: The project focuses on empowering developers with tools and practices to seamlessly integrate security and understand the role automation plays in it.

Method: During the project, we perform several industrial empirical studies, qualitative and quantitative, under the Design Science Research paradigm.

Results: Our studies supporting developers to secure their software supply chain show a positive stance despite low adoption of artifacts such as SBOM and VEX. Other efforts, embedding security in GUIbased testing, are showing promising results.

Conclusion: The project covers a broad spectrum of development activities that can be enhanced from a security perspective. Initial results show that despite developers' interest, adoption is limited. 

Place, publisher, year, edition, pages
IEEE Computer Society, 2025. p. 502-504
Series
International Symposium on Empirical Software Engineering and Measurement, ISSN 1949-3770, E-ISSN 1949-3789
Keywords [en]
code reviews, design science research, GUI testing, software security, technical debt, Computer aided design, Graphical user interfaces, Life cycle, Software design, Software testing, Code review, Design-science researches, Empirical studies, Secure software engineering, Security measure, Software development life-cycle, Technical debts, Tools and practices, Industrial research
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-29291DOI: 10.1109/ESEM64174.2025.00027Scopus ID: 2-s2.0-105032664692ISBN: 9798331591472 (print)OAI: oai:DiVA.org:bth-29291DiVA, id: diva2:2049111
Conference
2025 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2025, Honolulu, Oct 2-3, 2025
Available from: 2026-03-27 Created: 2026-03-27 Last updated: 2026-03-31Bibliographically approved

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Fucci, Davide

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